Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors, Computers in Industry, Elsevier [IF: 4.769]

  

 The traditional manufacturing sectors (footwear, textiles and clothing, furniture and toys, among others) are based on small and medium enterprises (SMEs) with limited capacity on investing in modern production technologies. Although these sectors rely heavily on product customization and short manufacturing cycles, they are still not able to take full advantage of the fourth industrial revolution.

 

The aim of this special issue is to collect research papers proposing solutions to facilitate the implementation of the fourth industrial revolution in traditional sectors. Accepted papers should address the following (indicative) topics and should aim at the implementation of Industry 4.0 to traditional manufacturing sectors.

 

The topics include:

 

• Product customization technologies in traditional manufacturing sectors, including the utilization of 3D printing approaches.

• Design and implementation of CAD/CAE/CAM algorithms and applications for traditional manufacturing sectors, including Cloud applications and efficient implementation through parallel architectures.

• Interoperability and distributed manufacturing in traditional manufacturing sectors.

• Artificial intelligence for design & manufacturing in traditional manufacturing sectors.

Robotics systems including collaborative robots, complex robotic cells, interconnection and security issues.

 

More information at:  https://www.journals.elsevier.com/computers-in-industry/call-for-papers/special-issue-on-technology

 

On behalf of the editorial team of this special issue, I encourage you to submit your manuscripts through the editorial system of Computers in Industry.

 

Important dates

 

• Submission deadline: March 31, 2020

• 1st round peer-review feedback: May 15, 2020

• Revised submission due: July 15, 2020

• Camera-ready due: September 15, 2020

• Expected publication: Fall/Winter 2020

 

__ Dr. Antonio Jimeno-Morenilla _____________________________

Full Professor

Computer Technology and Architecture

Head of the UniCAD research group

Computer Technology Department (DTIC)

University of Alicante

Brief curriculum: https://cvnet.cpd.ua.es/curriculum-breve/en/jimeno-morenilla-antonio-manuel/12758

LinkedIn profile: https://www.linkedin.com/in/antonio-manuel-jimeno-morenilla-87287b14

HiPEAC member: https://www.hipeac.net/~ToniJ/#/

_______________________________________________________________________

Curso In Company: Rescate en Altura.

Rescate en Altura
Curso Presencial "In-Company"
Consultar disponibilidad de fechas
Los objetivos del curso son conocer y practicar diversas técnicas de ascenso, descenso, rescate y evacuación en torres y postes de líneas aéreas de Alta y Media Tensión.

Al finalizar el curso los asistentes tendrán conocimiento sobre:

– Uso, ajuste e inspección de los EPP para Trabajos en Altura.
– Técnicas de ascenso y descenso en Líneas Aéreas.
– Rescate, Evacuación y Autoevacuación.
– Conocimiento de Riesgos, y desarrollo de tareas en forma segura.

El curso está dirigido a Personal Técnico y Operarios que desempeñan tareas en Líneas Aéreas de Alta y Media Tensión, ya sean éstas con o sin Tensión

Para quienes ya tienen experiencia en esta temática, el curso permitirá consolidar los aspectos principales de las tareas que desarrollan, aportando además mayor conocimiento sobre los diferentes Equipos disponibles y su funcionamiento. Mantenimiento y cuidado de los mismos.
 

Temario
Docente
Información General

Special Issue–“Advances in Mobile Gaming and Games-based Leaning” (More than 15 scholars agreed to submit)

Special Issue: Advances in Mobile Gaming and Games-based Leaning
Deadline for manuscript submissions: 31 January 2020
Website and Planned
Papers:https://www.mdpi.com/journal/information/special_issues/MobileGaming_Gamesbased_Learning
Guest Editor:
Dr. Antonio Coelho
Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal

Dr. Carlos Vaz de Carvalho
Instituto Superior de Engenharia do Porto, Instituto Polit?cnico do
Porto, 4200-072 Porto, Portugal

=======================
Dear Colleagues,

We cordially invite you to submit a manuscript for consideration and
possible publication in a Special Issue on "Advances in Mobile Gaming
and Games-based Leaning" to be published in an EI,
ESCI and Scopus-indexed open access journal Information
(http://www.mdpi.com/journal/information).

The submission manuscript deadline is 31 January 2020. For more
details, please visit the website:
https://www.mdpi.com/journal/information/special_issues/MobileGaming_Gamesbased_Learning

You may share this invitation with your team members and colleagues;
co-authors are most welcome.

Please let me know within a month or as soon as possible if you and your
colleagues are interested in submitting a manuscript for this special
issue. If more time is needed, please feel free to tell us
(information@mdpi.com). Your contribution would be most welcome.

Information is fully open access. Open access (unlimited and free access
by readers) increases publicity and promotes more frequent citations, as
indicated by several studies. Open access is supported by the authors
and their institutes. An Article Processing Charge (APC) of CHF 1000
currently applies to all accepted papers. You may be entitled to a
discount if you have previously received a discount code or if your
institute is participating in the MDPI Institutional Open Access Program
(IOAP), for more information see: http://www.mdpi.com/about/ioap.

For further details on the submission process, please see the
instructions for authors at the journal website
(http://www.mdpi.com/journal/information/instructions).

We hope this topic is of interest to you and look forward to
collaborating with you in the near future.

Kind regards,
Blink Yu
Section Managing Editor

Fully Funded PhD position in AI and Machine Learning for mental well being at ORU, Sweden

This is a fully funded PhD position on AI and Machine Learning at the Centre for Applied Autonomous Sensor Systems (AASS, www.oru.se/aass) at Örebro University (www.oru.se), Sweden. This PhD position is funded by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP, wasp-sweden.org), which a Swedish national initiative.
The research topic for this PhD position is to devise and implement new artificial intelligence-based systems to monitor and asses the quality of life of citizens, with main focus on mental well-being. Target populations of this system include elderly people living independently, and people at risk of developing negative mental states (stress, anxiety, and depression), among others.
AI and Machine learning will be used to estimate in real time the mental well-being of people. This includes mood (happiness, sadness, sleepiness, etc), and negative states (stress, anxiety) in order to assess the potential risk for a depression of people during their daily life activities. Assessment will be based on data from different sources including sensors, activity patterns, mental assessment, daily agenda, and so on. New ways of data collection will also be researched. An important question to be answered will be what are the relevant data and the relevant moods when it comes to the assessment of mental well-being.
For more specific details on this PhD position and the application process, please visit the link:
Contact persons:
– Assoc. Prof. Oscar M. Mozos, email: oscar.mozos@@oru.se omozos@gmail.com / www: sites.google.com/view/oscarmozos 


Regards,
Oscar
—————————–
Oscar Martinez Mozos, PhD

Senior Lecturer
Örebro University, Sweden
https://www.oru.se/english/employee/oscar_mozos
———————————

London Imaging Meeting (LIM)- “Future Colour Imaging” – Call for Papers

The London Imaging Meeting (LIM) is a new yearly topic-based conference in imaging science being launched in 2020.

 

The theme of the first conference is “Future Colour Imaging”.

 

Conference website: http://www.imaging.org/site/IST/IST/Conferences/LIM/LIM_Home.aspx

 

Keynote Talks

6 April: Laurence Maloney (professor, NYU)

7 April: Felix Heide (professor, Princeton)

 

Focal Talks

Visual Computing: Jon Hardeberg (professor, NNTU)

Colour Science: Ronnier Luo (professor, Zheijiang)

CV and ML: Raimondo Schettini (professor, Milano-Bicocca)

Perception: Hannah Smithson (professor, Oxford)

3D Printing: Philipp Urban (professor, Fraunhofer)

 

Venue

The conference will take place over two days at the Institute of Physics in London, 6-7 April 2020.

To facilitate easy travel to and from the conference, the technical programme begins mid-morning on the 6th and finishes late afternoon on the 7th (only a single night needs to be spent in London).

 

Program Topics

Authors are invited to submit short-papers describing original work in technical areas related to colour imaging.

Topics of interest include, but are not limited to:

 

colour science

human colour perception

physics-based computer vision

illumination

image reproduction.

 

Submission Deadline: 13 December 2019
Submission Format:  4 page draft paper

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